Parameter Tuning of PID Controller of Servo System Based on Particle Swarm Optimization Algorithm

2019 The 5th International Conference on Electrical Engineering, Control and Robotics

无线电电子学;计算机科学

Lianbo, Chen^1^2^3 ; Xinhong, Xiong^3 ; Yousheng, Zheng^3 ; Yanhui, Zhang^1^2 ; Guoqing, Zhang^1^2^3 ; Xinyu, Wu^1^2 ; Wei, Feng^1^2

Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen

518055, China^1

CAS Key Laboratory of Human-Machine-Intelligence Synergic Systems, Shenzhen Institutes of Advanced Technology, Shenzhen

518055, China^2

School of Logistics Engineering, Wuhan University of Technology, Wuhan

430070, China^3

关键词: Control precision;    MATLAB/Simulink environment;    Parameter-tuning;    Parameters tuning;    Particle swarm optimization algorithm;    Permanent Magnet Synchronous Motor;    PID controller Based on PSO;    Proportional integral differential control;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/533/1/012022/pdf
DOI  :  10.1088/1757-899X/533/1/012022

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In order to improve the control precision of permanent magnet synchronous motor servo drive, a Proportional-Integral-Differential (PID) control method based on particle swarm optimization (PSO) algorithm is proposed. Firstly, the mathematical model of the permanent magnet synchronous motor was established. Then the PSO algorithm was used to adjust the parameters of the PID controller. Finally, the simulation experiment was carried out under the MATLAB/Simulink environment to test its performance. Compared with the traditional manual parameters tuning, the PID controller based on PSO algorithm had better performance and better stability.